Video retrieval method of multi-label relation based on correlation analysis
A correlation analysis and multi-label technology, which is applied in the field of multi-label video retrieval, can solve the problems of costing financial and material resources, missing video detection, and false detection.
Pending Publication Date: 2021-09-07
WENZHOU UNIVERSITY
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the current retrieval of videos is mainly through manual retrieval or simple single-label retrieval, which consumes a lot of financial and material resources.
[0003] Therefore, it is urgent to propose a multi-label video retrieval method based on association analysis to solve the problem of missed detection and false detection of video.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0041] Such as figure 1 and figure 2 Shown is a video retrieval method based on the multi-label relationship of association analysis, the video retrieval method of the multi-label relationship based on association analysis comprises the following steps:
[0042] Step 1: Obtain the video to be retrieved, the video information to be retrieved includes video information and non-video information;
[0043] Step 2: The video to be retrieved is divided into sever...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a video retrieval method of a multi-label relation based on correlation analysis. The method comprises the following steps: obtaining a to-be-retrieved video; obtaining a plurality of video shots of the to-be-retrieved video; processing each video shot to obtain a key video frame of the to-be-retrieved video; processing the sample video to obtain a video tag of the sample video; extracting feature information from the sample video tag to obtain a key video frame of the sample video tag; searching in the to-be-retrieved video based on the key video frames of the sample video, if the number of the key video frames in a certain video shot found in the to-be-retrieved video is greater than or equal to a preset threshold value of the number of the sample video frames, indicating that the video corresponding to the sample video is retrieved, otherwise, not retrieving the video corresponding to the sample video. The method has the beneficial effects that the accurate retrieval of the video can be realized, and the retrieval efficiency is improved.
Description
technical field [0001] The invention relates to a retrieval method, in particular to a multi-label video retrieval method based on association analysis. Background technique [0002] With the rapid development of network technology, various multimedia videos are presented in front of people's eyes, and the accompanying violent and terrifying videos are also quietly spreading and spreading. The dissemination and proliferation of videos affect people's physical and mental health, so it is necessary to retrieve the contained videos in the video and give early warning to people. However, the current video retrieval is mainly through manual retrieval or simple single-label retrieval, which consumes a lot of financial and material resources. [0003] Therefore, it is urgent to propose a multi-label video retrieval method based on association analysis to solve the problem of missed and wrong detection of videos. Contents of the invention [0004] In view of this, the present in...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06K9/00G06F16/783
CPCG06F16/785G06F16/7854G06F16/7857
Inventor 张笑钦赵丽
Owner WENZHOU UNIVERSITY